Started Loss, done softmax, up to p.125

I've implemented alot of support functions that needs to be refactored, optimised and tested; mean.h, exponential.h, matdiv.h matsum.h matsubtract.h. Maybe we need to have a look at if matdiv/matmul should be in the same. Same with matadd/matsubtract and if some of it should be in matvec.h.

src/main.cpp

@@ -24,24 +24,27 @@ int main(int argc, char const *argv[])
 {   
 
     utils::Mf X(10,2, 0);
-    utils::Vf y(10, 0);
+    utils::Vd y(10, 0);
+
+
     neural_networks::create_spital_data(100, 3, X, y);
 
-    neural_networks::dense_layer<float> layer(2, 3);
+    neural_networks::dense_layer<float> dense1(2, 3);
+    neural_networks::activation_ReLU<float> activation1;
+    neural_networks::dense_layer<float> dense2(3, 3);
+    neural_networks::activation_softmax<float> activation2;
 
-    neural_networks::activation_ReLU<float> RelU;
+    dense1.forward(X);
+    activation1.forward(dense1.outputs);
+    dense2.forward(activation1.outputs);
+    activation2.forward(dense2.outputs);
 
-    layer.forward(X);
-    RelU.forward(layer.outputs);
+ 
 
     for (int i = 0; i < 5; ++i){
-        std::cout << RelU.outputs.get_row(i) << std::endl;
+        std::cout << activation2.outputs.get_row(i) << std::endl;
     }
 
-    //layer1_output.print();
-    //layer2_output.print();
-
-    //std::cout << output << std::endl;